# Ocean MCP

> Ocean MCP — ishimwe5555-mcp-toolbox. Use this tool when you need to seamlessly integrate large-scale ocean data into your applications, solving problems of data discovery and processing for marine research and analysis. It provides a user-friendly interface for dataset discovery, metadata retrieval, and data extraction, taking in parameters such as location and time-series, and outputting relevant data subsets and statistics. This enables efficient use of Copernicus Marine data in various contexts, from climate modeling to ocean conservation.

Canonical page: https://skillsregistry.net/skills/ishimwe5555-mcp-toolbox  
JSON: https://api.skillsregistry.net/v1/skills/ishimwe5555-mcp-toolbox

## Description

Enables LLMs to work with Copernicus Marine ocean data through semantic tools for dataset discovery, metadata retrieval, recommendation, validation, point time-series extraction, area statistics, subsetting, and computation without exposing raw API plumbing.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/onxlwiqguc)
- **Repository:** <https://github.com/ishimwe5555/mcp-toolbox>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ishimwe5555-mcp-toolbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ishimwe5555-mcp-toolbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ishimwe5555-mcp-toolbox/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt